class_docstr: Abstract condition for a conditional hyperparameter.
  
  Subclasses of this object can be passed to a `HyperParameter` to specify
  that this condition must be met for the hyperparameter to be active for the
  `Trial`.
class_docstr_tok: ["Abstract","condition","for","a","conditional","hyperparameter",".","Subclasses","of","this","object","can","be","passed","to","a","`","HyperParameter","`","to","specify","that","this","condition","must","be","met","for","the","hyperparameter","to","be","active","for","the","`","Trial","`","."]
code: def get_config(self):
      raise NotImplementedError("Must be implemented in subclasses.")
  
file_path: keras-tuner/keras_tuner/engine/conditions.py
imports: import abc
  import six
  from keras_tuner import protos
  from keras_tuner import utils
label_desc: Use image node_id 3 for calling the Condition obj's underlying member method code with example usage: obj.get_config() without return types